Factor Analysis of Neighborhood-Preserving Embedding for Speaker Verification

被引:1
|
作者
Liang, Chunyan [1 ]
Yang, Lin [1 ]
Zhao, Qingwei [1 ]
Yan, Yonghong [1 ]
机构
[1] Chinese Acad Sci, Inst Acoust, Key Lab Speech Acoust & Content Understanding, Beijing 100864, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
speaker verification; neighborhood-preserving embedding; total variability; support vector machine; cosine distance scoring;
D O I
10.1587/transinf.E95.D.2572
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this letter, we adopt a new factor analysis of neighborhood-preserving embedding (NPE) for speaker verification. NPE aims at preserving the local neighborhood structure on the data and defines a low-dimensional speaker space called neighborhood-preserving embedding space. We compare the proposed method with the state-of-the-art total variability approach on the telephone-telephone core condition of the NIST 2008 Speaker Recognition Evaluation (SRE) dataset. The experimental results indicate that the proposed NPE method outperforms the total variability approach, providing up to 24% relative improvement.
引用
收藏
页码:2572 / 2576
页数:5
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